Studying the Effect of the Host Genetic Background of Juvenile Polyposis Development Using Collaborative Cross and Smad4 Knock-Out Mouse Models.
Osayd ZohudKareem MidlejMohammad Iqbal LoneAysar NashefImad Abu-ElnaajFuad A IraqiPublished in: International journal of molecular sciences (2024)
Juvenile polyposis syndrome (JPS) is a rare autosomal dominant disorder characterized by multiple juvenile polyps in the gastrointestinal tract, often associated with mutations in genes such as Smad4 and BMPR 1 A . This study explores the impact of Smad4 knock-out on the development of intestinal polyps using collaborative cross (CC) mice, a genetically diverse model. Our results reveal a significant increase in intestinal polyps in Smad4 knock-out mice across the entire population, emphasizing the broad influence of Smad4 on polyposis. Sex-specific analyses demonstrate higher polyp counts in knock-out males and females compared to their WT counterparts, with distinct correlation patterns. Line-specific effects highlight the nuanced response to Smad4 knock-out, underscoring the importance of genetic variability. Multimorbidity heat maps offer insights into complex relationships between polyp counts, locations, and sizes. Heritability analysis reveals a significant genetic basis for polyp counts and sizes, while machine learning models, including k-nearest neighbors and linear regression, identify key predictors, enhancing our understanding of juvenile polyposis genetics. Overall, this study provides new information on understanding the intricate genetic interplay in the context of Smad4 knock-out, offering valuable insights that could inform the identification of potential therapeutic targets for juvenile polyposis and related diseases.
Keyphrases
- chronic rhinosinusitis
- epithelial mesenchymal transition
- transforming growth factor
- genome wide
- machine learning
- copy number
- healthcare
- mouse model
- dna methylation
- pulmonary arterial hypertension
- single cell
- peripheral blood
- quality improvement
- metabolic syndrome
- high fat diet induced
- skeletal muscle
- pulmonary hypertension
- artificial intelligence
- social media
- health information
- transcription factor
- insulin resistance
- case report
- wild type
- climate change